Masci et al. [1]} pioneered the use of morphological operators in neural networks. They began researching pseudo harmonic morphological operators in conjunction with DNNs. First morphological Perceptrons has been investigated in [2]}, [3]}, [4]}, [5]}, [6]}. Some investigations attempted to integrate morphological layers and DNN architecture
[7]}, [8]}, [9]}, [10]}. The issue with these works is that one could argue that morphological procedures are architecture-dependent. As a result, we propose in our work to link the search for architecture using morphological layers.
Let us disregard the work of Blusseau et al. [11]}, who used auto-encoder networks to approximate morphological operators.
